Introduction
The sudden 30% decrease in API calls to Lifion's time and attendance tracking service over the past week is a critical issue that demands immediate attention. This significant drop could impact revenue, user satisfaction, and overall product performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a minor update was pushed last week. Impact on approach: If true, I'd focus on analyzing the update's impact.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decrease is more pronounced in enterprise customers. Impact on approach: I'd prioritize investigating enterprise-specific factors.
Why it matters: Distinguishes between normal fluctuations and anomalies. Expected answer: This decrease is abnormal for the season. Impact on approach: I'd rule out seasonal factors and focus on recent changes.
Why it matters: Technical issues can directly impact API call volume. Expected answer: No significant outages, but some intermittent slowdowns. Impact on approach: I'd investigate the correlation between slowdowns and decreased calls.
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